SchenkerTechnologiesGmbH XMG NEO (A25)
Geekbench AI Score
4396
Single Precision Score
1648
Half Precision Score
7855
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | September 14 2025 07:30 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9955HX3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SchenkerTechnologiesGmbH XMG NEO (A25) |
| Motherboard | NB02 X6FR5xxY |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3817
709.8 IPS |
|
|
Image Classification (HP)
|
100% |
532
99.0 IPS |
|
|
Image Classification (Q)
|
99% |
7428
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10079
163.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9625
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7115
8.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
31373
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
3623
287.4 IPS |
|
|
Object Detection (HP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (Q)
|
86% |
4388
352.7 IPS |
|
|
Face Detection (SP)
|
100% |
6846
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
9187
109.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10883
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1997
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
17372
138.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19593
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16441
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32668
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2703
99.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2308
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3731
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
1587
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
701
935.3 IPS |
|
|
Text Classification (Q)
|
97% |
1404
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2414
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3179
63.9 IPS |
